Dataset statistics
| Number of variables | 24 |
|---|---|
| Number of observations | 101 |
| Missing cells | 4 |
| Missing cells (%) | 0.2% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 19.1 KiB |
| Average record size in memory | 193.3 B |
Variable types
| Numeric | 14 |
|---|---|
| Categorical | 10 |
df_index is highly correlated with MWT1 and 6 other fields | High correlation |
AGE is highly correlated with AGEquartiles | High correlation |
MWT1 is highly correlated with df_index and 7 other fields | High correlation |
MWT2 is highly correlated with df_index and 5 other fields | High correlation |
MWT1Best is highly correlated with df_index and 3 other fields | High correlation |
FEV1 is highly correlated with COPDSEVERITY and 3 other fields | High correlation |
FEV1PRED is highly correlated with df_index and 8 other fields | High correlation |
FVC is highly correlated with PackHistory and 5 other fields | High correlation |
FVCPRED is highly correlated with df_index and 5 other fields | High correlation |
CAT is highly correlated with MWT2 and 1 other fields | High correlation |
HAD is highly correlated with SGRQ | High correlation |
SGRQ is highly correlated with df_index and 3 other fields | High correlation |
AGEquartiles is highly correlated with AGE | High correlation |
copd is highly correlated with COPDSEVERITY and 4 other fields | High correlation |
AtrialFib is highly correlated with df_index and 3 other fields | High correlation |
COPDSEVERITY is highly correlated with FEV1 and 4 other fields | High correlation |
ID is highly correlated with FEV1PRED | High correlation |
PackHistory is highly correlated with FVC | High correlation |
IHD is highly correlated with MWT1 | High correlation |
MWT1 has 2 (2.0%) missing values | Missing |
df_index is uniformly distributed | Uniform |
df_index has unique values | Unique |
HAD has 4 (4.0%) zeros | Zeros |
Reproduction
| Analysis started | 2022-09-19 20:24:35.241581 |
|---|---|
| Analysis finished | 2022-09-19 20:25:20.501429 |
| Duration | 45.26 seconds |
| Software version | pandas-profiling v3.3.0 |
| Download configuration | config.json |
| Distinct | 101 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 51 |
| Minimum | 1 |
|---|---|
| Maximum | 101 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 936.0 B |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 6 |
| Q1 | 26 |
| median | 51 |
| Q3 | 76 |
| 95-th percentile | 96 |
| Maximum | 101 |
| Range | 100 |
| Interquartile range (IQR) | 50 |
Descriptive statistics
| Standard deviation | 29.30017065 |
|---|---|
| Coefficient of variation (CV) | 0.57451315 |
| Kurtosis | -1.2 |
| Mean | 51 |
| Median Absolute Deviation (MAD) | 25 |
| Skewness | 0 |
| Sum | 5151 |
| Variance | 858.5 |
| Monotonicity | Strictly increasing |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 1 | 1 | 1.0% |
| 65 | 1 | 1.0% |
| 75 | 1 | 1.0% |
| 74 | 1 | 1.0% |
| 73 | 1 | 1.0% |
| 72 | 1 | 1.0% |
| 71 | 1 | 1.0% |
| 70 | 1 | 1.0% |
| 69 | 1 | 1.0% |
| 68 | 1 | 1.0% |
| Other values (91) | 91 |
| Value | Count | Frequency (%) |
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 1 |
| Value | Count | Frequency (%) |
| 101 | 1 | |
| 100 | 1 | |
| 99 | 1 | |
| 98 | 1 | |
| 97 | 1 | |
| 96 | 1 | |
| 95 | 1 | |
| 94 | 1 | |
| 93 | 1 | |
| 92 | 1 |
| Distinct | 97 |
|---|---|
| Distinct (%) | 96.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 91.40594059 |
| Minimum | 1 |
|---|---|
| Maximum | 169 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 936.0 B |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 10 |
| Q1 | 49 |
| median | 87 |
| Q3 | 143 |
| 95-th percentile | 164 |
| Maximum | 169 |
| Range | 168 |
| Interquartile range (IQR) | 94 |
Descriptive statistics
| Standard deviation | 51.51624564 |
|---|---|
| Coefficient of variation (CV) | 0.5635984412 |
| Kurtosis | -1.267318994 |
| Mean | 91.40594059 |
| Median Absolute Deviation (MAD) | 46 |
| Skewness | -0.0517231265 |
| Sum | 9232 |
| Variance | 2653.923564 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 162 | 2 | 2.0% |
| 158 | 2 | 2.0% |
| 159 | 2 | 2.0% |
| 157 | 2 | 2.0% |
| 58 | 1 | 1.0% |
| 54 | 1 | 1.0% |
| 30 | 1 | 1.0% |
| 3 | 1 | 1.0% |
| 140 | 1 | 1.0% |
| 169 | 1 | 1.0% |
| Other values (87) | 87 |
| Value | Count | Frequency (%) |
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 6 | 1 | |
| 8 | 1 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 1 | |
| 15 | 1 | |
| 16 | 1 |
| Value | Count | Frequency (%) |
| 169 | 1 | |
| 168 | 1 | |
| 167 | 1 | |
| 166 | 1 | |
| 165 | 1 | |
| 164 | 1 | |
| 163 | 1 | |
| 162 | 2 | |
| 159 | 2 | |
| 158 | 2 |
| Distinct | 33 |
|---|---|
| Distinct (%) | 32.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 70.0990099 |
| Minimum | 44 |
|---|---|
| Maximum | 88 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 936.0 B |
Quantile statistics
| Minimum | 44 |
|---|---|
| 5-th percentile | 55 |
| Q1 | 65 |
| median | 71 |
| Q3 | 75 |
| 95-th percentile | 81 |
| Maximum | 88 |
| Range | 44 |
| Interquartile range (IQR) | 10 |
Descriptive statistics
| Standard deviation | 7.898740343 |
|---|---|
| Coefficient of variation (CV) | 0.1126797704 |
| Kurtosis | 0.822436965 |
| Mean | 70.0990099 |
| Median Absolute Deviation (MAD) | 4 |
| Skewness | -0.7177238122 |
| Sum | 7080 |
| Variance | 62.39009901 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=33)
| Value | Count | Frequency (%) |
| 75 | 8 | 7.9% |
| 73 | 8 | 7.9% |
| 72 | 7 | 6.9% |
| 78 | 6 | 5.9% |
| 67 | 6 | 5.9% |
| 68 | 5 | 5.0% |
| 65 | 5 | 5.0% |
| 71 | 5 | 5.0% |
| 76 | 4 | 4.0% |
| 64 | 4 | 4.0% |
| Other values (23) | 43 |
| Value | Count | Frequency (%) |
| 44 | 1 | |
| 49 | 1 | |
| 52 | 1 | |
| 53 | 1 | |
| 54 | 1 | |
| 55 | 2 | |
| 56 | 1 | |
| 59 | 1 | |
| 60 | 2 | |
| 61 | 1 |
| Value | Count | Frequency (%) |
| 88 | 1 | 1.0% |
| 83 | 2 | 2.0% |
| 82 | 2 | 2.0% |
| 81 | 2 | 2.0% |
| 80 | 3 | 3.0% |
| 79 | 1 | 1.0% |
| 78 | 6 | |
| 77 | 2 | 2.0% |
| 76 | 4 | |
| 75 | 8 |
| Distinct | 48 |
|---|---|
| Distinct (%) | 47.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 39.6980198 |
| Minimum | 1 |
|---|---|
| Maximum | 109 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 936.0 B |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 6 |
| Q1 | 20 |
| median | 36 |
| Q3 | 54 |
| 95-th percentile | 90 |
| Maximum | 109 |
| Range | 108 |
| Interquartile range (IQR) | 34 |
Descriptive statistics
| Standard deviation | 24.55871324 |
|---|---|
| Coefficient of variation (CV) | 0.6186382435 |
| Kurtosis | 0.3628872921 |
| Mean | 39.6980198 |
| Median Absolute Deviation (MAD) | 16 |
| Skewness | 0.7551818217 |
| Sum | 4009.5 |
| Variance | 603.130396 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=48)
| Value | Count | Frequency (%) |
| 30 | 10 | 9.9% |
| 20 | 8 | 7.9% |
| 40 | 5 | 5.0% |
| 50 | 5 | 5.0% |
| 55 | 4 | 4.0% |
| 75 | 4 | 4.0% |
| 45 | 4 | 4.0% |
| 60 | 3 | 3.0% |
| 36 | 3 | 3.0% |
| 3 | 3 | 3.0% |
| Other values (38) | 52 |
| Value | Count | Frequency (%) |
| 1 | 1 | 1.0% |
| 3 | 3 | |
| 5 | 1 | 1.0% |
| 6 | 3 | |
| 8 | 1 | 1.0% |
| 9 | 1 | 1.0% |
| 10 | 2 | |
| 11 | 2 | |
| 14 | 1 | 1.0% |
| 15 | 3 |
| Value | Count | Frequency (%) |
| 109 | 1 | 1.0% |
| 105 | 1 | 1.0% |
| 103 | 1 | 1.0% |
| 100 | 1 | 1.0% |
| 90 | 2 | |
| 80 | 1 | 1.0% |
| 78 | 1 | 1.0% |
| 75 | 4 | |
| 68 | 1 | 1.0% |
| 67 | 1 | 1.0% |
| Distinct | 4 |
|---|---|
| Distinct (%) | 4.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 936.0 B |
| MODERATE | |
|---|---|
| SEVERE | |
| MILD | |
| VERY SEVERE |
Length
| Max length | 11 |
|---|---|
| Median length | 8 |
| Mean length | 6.792079208 |
| Min length | 4 |
Characters and Unicode
| Total characters | 686 |
|---|---|
| Distinct characters | 13 |
| Distinct categories | 2 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | SEVERE |
|---|---|
| 2nd row | MODERATE |
| 3rd row | MODERATE |
| 4th row | VERY SEVERE |
| 5th row | SEVERE |
Common Values
| Value | Count | Frequency (%) |
| MODERATE | 43 | |
| SEVERE | 27 | |
| MILD | 23 | |
| VERY SEVERE | 8 | 7.9% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| moderate | 43 | |
| severe | 35 | |
| mild | 23 | |
| very | 8 | 7.3% |
Most occurring characters
| Value | Count | Frequency (%) |
| E | 199 | |
| R | 86 | |
| M | 66 | 9.6% |
| D | 66 | 9.6% |
| O | 43 | 6.3% |
| A | 43 | 6.3% |
| T | 43 | 6.3% |
| V | 43 | 6.3% |
| S | 35 | 5.1% |
| I | 23 | 3.4% |
| Other values (3) | 39 | 5.7% |
Most occurring categories
| Value | Count | Frequency (%) |
| Uppercase Letter | 678 | |
| Space Separator | 8 | 1.2% |
Most frequent character per category
Uppercase Letter
| Value | Count | Frequency (%) |
| E | 199 | |
| R | 86 | |
| M | 66 | 9.7% |
| D | 66 | 9.7% |
| O | 43 | 6.3% |
| A | 43 | 6.3% |
| T | 43 | 6.3% |
| V | 43 | 6.3% |
| S | 35 | 5.2% |
| I | 23 | 3.4% |
| Other values (2) | 31 | 4.6% |
Space Separator
| Value | Count | Frequency (%) |
| 8 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 678 | |
| Common | 8 | 1.2% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| E | 199 | |
| R | 86 | |
| M | 66 | 9.7% |
| D | 66 | 9.7% |
| O | 43 | 6.3% |
| A | 43 | 6.3% |
| T | 43 | 6.3% |
| V | 43 | 6.3% |
| S | 35 | 5.2% |
| I | 23 | 3.4% |
| Other values (2) | 31 | 4.6% |
Common
| Value | Count | Frequency (%) |
| 8 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 686 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| E | 199 | |
| R | 86 | |
| M | 66 | 9.6% |
| D | 66 | 9.6% |
| O | 43 | 6.3% |
| A | 43 | 6.3% |
| T | 43 | 6.3% |
| V | 43 | 6.3% |
| S | 35 | 5.1% |
| I | 23 | 3.4% |
| Other values (3) | 39 | 5.7% |
| Distinct | 69 |
|---|---|
| Distinct (%) | 69.7% |
| Missing | 2 |
| Missing (%) | 2.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 385.8585859 |
| Minimum | 120 |
|---|---|
| Maximum | 688 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 936.0 B |
Quantile statistics
| Minimum | 120 |
|---|---|
| 5-th percentile | 212.7 |
| Q1 | 300 |
| median | 419 |
| Q3 | 460.5 |
| 95-th percentile | 510.1 |
| Maximum | 688 |
| Range | 568 |
| Interquartile range (IQR) | 160.5 |
Descriptive statistics
| Standard deviation | 104.7441986 |
|---|---|
| Coefficient of variation (CV) | 0.2714574781 |
| Kurtosis | -0.2030961038 |
| Mean | 385.8585859 |
| Median Absolute Deviation (MAD) | 59 |
| Skewness | -0.3110962365 |
| Sum | 38200 |
| Variance | 10971.34714 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 435 | 5 | 5.0% |
| 420 | 3 | 3.0% |
| 390 | 3 | 3.0% |
| 468 | 3 | 3.0% |
| 300 | 3 | 3.0% |
| 427 | 2 | 2.0% |
| 281 | 2 | 2.0% |
| 459 | 2 | 2.0% |
| 453 | 2 | 2.0% |
| 469 | 2 | 2.0% |
| Other values (59) | 72 |
| Value | Count | Frequency (%) |
| 120 | 1 | |
| 165 | 1 | |
| 201 | 1 | |
| 204 | 1 | |
| 210 | 1 | |
| 213 | 1 | |
| 214 | 2 | |
| 216 | 1 | |
| 226 | 2 | |
| 231 | 1 |
| Value | Count | Frequency (%) |
| 688 | 1 | |
| 576 | 1 | |
| 558 | 1 | |
| 522 | 1 | |
| 511 | 1 | |
| 510 | 2 | |
| 501 | 1 | |
| 496 | 2 | |
| 495 | 2 | |
| 492 | 2 |
| Distinct | 72 |
|---|---|
| Distinct (%) | 72.0% |
| Missing | 1 |
| Missing (%) | 1.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 390.28 |
| Minimum | 120 |
|---|---|
| Maximum | 699 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 936.0 B |
Quantile statistics
| Minimum | 120 |
|---|---|
| 5-th percentile | 210 |
| Q1 | 303.75 |
| median | 399 |
| Q3 | 459 |
| 95-th percentile | 541.15 |
| Maximum | 699 |
| Range | 579 |
| Interquartile range (IQR) | 155.25 |
Descriptive statistics
| Standard deviation | 107.7544984 |
|---|---|
| Coefficient of variation (CV) | 0.2760953633 |
| Kurtosis | -0.1379340696 |
| Mean | 390.28 |
| Median Absolute Deviation (MAD) | 64.5 |
| Skewness | -0.1695204539 |
| Sum | 39028 |
| Variance | 11611.03192 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 459 | 4 | 4.0% |
| 369 | 3 | 3.0% |
| 237 | 3 | 3.0% |
| 480 | 3 | 3.0% |
| 540 | 2 | 2.0% |
| 450 | 2 | 2.0% |
| 437 | 2 | 2.0% |
| 432 | 2 | 2.0% |
| 419 | 2 | 2.0% |
| 396 | 2 | 2.0% |
| Other values (62) | 75 |
| Value | Count | Frequency (%) |
| 120 | 1 | 1.0% |
| 176 | 1 | 1.0% |
| 180 | 2 | |
| 210 | 2 | |
| 230 | 1 | 1.0% |
| 234 | 1 | 1.0% |
| 237 | 3 | |
| 240 | 2 | |
| 243 | 1 | 1.0% |
| 267 | 2 |
| Value | Count | Frequency (%) |
| 699 | 1 | |
| 582 | 1 | |
| 577 | 1 | |
| 575 | 1 | |
| 563 | 1 | |
| 540 | 2 | |
| 531 | 2 | |
| 525 | 1 | |
| 518 | 1 | |
| 505 | 1 |
| Distinct | 71 |
|---|---|
| Distinct (%) | 71.0% |
| Missing | 1 |
| Missing (%) | 1.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 399.11 |
| Minimum | 120 |
|---|---|
| Maximum | 699 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 936.0 B |
Quantile statistics
| Minimum | 120 |
|---|---|
| 5-th percentile | 215.7 |
| Q1 | 303.75 |
| median | 420 |
| Q3 | 465.25 |
| 95-th percentile | 540.9 |
| Maximum | 699 |
| Range | 579 |
| Interquartile range (IQR) | 161.5 |
Descriptive statistics
| Standard deviation | 106.5501158 |
|---|---|
| Coefficient of variation (CV) | 0.2669692961 |
| Kurtosis | -0.1566638449 |
| Mean | 399.11 |
| Median Absolute Deviation (MAD) | 60 |
| Skewness | -0.2875998824 |
| Sum | 39911 |
| Variance | 11352.92717 |
| Monotonicity | Increasing |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 459 | 5 | 5.0% |
| 480 | 3 | 3.0% |
| 237 | 3 | 3.0% |
| 240 | 3 | 3.0% |
| 451 | 3 | 3.0% |
| 300 | 3 | 3.0% |
| 390 | 2 | 2.0% |
| 375 | 2 | 2.0% |
| 489 | 2 | 2.0% |
| 369 | 2 | 2.0% |
| Other values (61) | 72 |
| Value | Count | Frequency (%) |
| 120 | 1 | 1.0% |
| 176 | 1 | 1.0% |
| 201 | 1 | 1.0% |
| 210 | 2 | |
| 216 | 1 | 1.0% |
| 237 | 3 | |
| 240 | 3 | |
| 246 | 1 | 1.0% |
| 270 | 1 | 1.0% |
| 271 | 2 |
| Value | Count | Frequency (%) |
| 699 | 1 | |
| 582 | 1 | |
| 577 | 1 | |
| 575 | 1 | |
| 558 | 1 | |
| 540 | 2 | |
| 531 | 2 | |
| 525 | 1 | |
| 518 | 1 | |
| 505 | 1 |
| Distinct | 85 |
|---|---|
| Distinct (%) | 84.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1.603762376 |
| Minimum | 0.45 |
|---|---|
| Maximum | 3.18 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 936.0 B |
Quantile statistics
| Minimum | 0.45 |
|---|---|
| 5-th percentile | 0.68 |
| Q1 | 1.1 |
| median | 1.6 |
| Q3 | 1.96 |
| 95-th percentile | 2.9 |
| Maximum | 3.18 |
| Range | 2.73 |
| Interquartile range (IQR) | 0.86 |
Descriptive statistics
| Standard deviation | 0.672762739 |
|---|---|
| Coefficient of variation (CV) | 0.4194902867 |
| Kurtosis | -0.4566982929 |
| Mean | 1.603762376 |
| Median Absolute Deviation (MAD) | 0.46 |
| Skewness | 0.458892891 |
| Sum | 161.98 |
| Variance | 0.452609703 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 1.89 | 3 | 3.0% |
| 1.92 | 2 | 2.0% |
| 1.79 | 2 | 2.0% |
| 1.11 | 2 | 2.0% |
| 1.6 | 2 | 2.0% |
| 2.43 | 2 | 2.0% |
| 1.26 | 2 | 2.0% |
| 0.72 | 2 | 2.0% |
| 1.09 | 2 | 2.0% |
| 1.46 | 2 | 2.0% |
| Other values (75) | 80 |
| Value | Count | Frequency (%) |
| 0.45 | 1 | |
| 0.47 | 1 | |
| 0.51 | 1 | |
| 0.6 | 1 | |
| 0.65 | 1 | |
| 0.68 | 2 | |
| 0.69 | 1 | |
| 0.72 | 2 | |
| 0.73 | 1 | |
| 0.74 | 1 |
| Value | Count | Frequency (%) |
| 3.18 | 1 | |
| 3.06 | 1 | |
| 3.02 | 1 | |
| 2.97 | 1 | |
| 2.93 | 1 | |
| 2.9 | 1 | |
| 2.8 | 1 | |
| 2.79 | 1 | |
| 2.75 | 1 | |
| 2.74 | 1 |
| Distinct | 51 |
|---|---|
| Distinct (%) | 50.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 58.53148515 |
| Minimum | 3.29 |
|---|---|
| Maximum | 102 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 936.0 B |
Quantile statistics
| Minimum | 3.29 |
|---|---|
| 5-th percentile | 24 |
| Q1 | 42 |
| median | 60 |
| Q3 | 75 |
| 95-th percentile | 93 |
| Maximum | 102 |
| Range | 98.71 |
| Interquartile range (IQR) | 33 |
Descriptive statistics
| Standard deviation | 22.29482139 |
|---|---|
| Coefficient of variation (CV) | 0.380903053 |
| Kurtosis | -0.5362217926 |
| Mean | 58.53148515 |
| Median Absolute Deviation (MAD) | 16 |
| Skewness | -0.1658232952 |
| Sum | 5911.68 |
| Variance | 497.0590608 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 37 | 5 | 5.0% |
| 46 | 5 | 5.0% |
| 85 | 4 | 4.0% |
| 75 | 4 | 4.0% |
| 62 | 4 | 4.0% |
| 90 | 4 | 4.0% |
| 61 | 4 | 4.0% |
| 60 | 3 | 3.0% |
| 44 | 3 | 3.0% |
| 59 | 3 | 3.0% |
| Other values (41) | 62 |
| Value | Count | Frequency (%) |
| 3.29 | 1 | |
| 3.39 | 1 | |
| 14 | 1 | |
| 17 | 1 | |
| 24 | 2 | |
| 27 | 2 | |
| 29 | 1 | |
| 30 | 2 | |
| 32 | 2 | |
| 35 | 1 |
| Value | Count | Frequency (%) |
| 102 | 1 | 1.0% |
| 98 | 2 | |
| 95 | 1 | 1.0% |
| 93 | 2 | |
| 92 | 1 | 1.0% |
| 90 | 4 | |
| 88 | 1 | 1.0% |
| 86 | 1 | 1.0% |
| 85 | 4 | |
| 83 | 1 | 1.0% |
| Distinct | 80 |
|---|---|
| Distinct (%) | 79.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2.954950495 |
| Minimum | 1.14 |
|---|---|
| Maximum | 5.37 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 936.0 B |
Quantile statistics
| Minimum | 1.14 |
|---|---|
| 5-th percentile | 1.56 |
| Q1 | 2.27 |
| median | 2.77 |
| Q3 | 3.63 |
| 95-th percentile | 4.7 |
| Maximum | 5.37 |
| Range | 4.23 |
| Interquartile range (IQR) | 1.36 |
Descriptive statistics
| Standard deviation | 0.9762833848 |
|---|---|
| Coefficient of variation (CV) | 0.3303890832 |
| Kurtosis | -0.4956385965 |
| Mean | 2.954950495 |
| Median Absolute Deviation (MAD) | 0.68 |
| Skewness | 0.5064528152 |
| Sum | 298.45 |
| Variance | 0.9531292475 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 2.29 | 5 | 5.0% |
| 4.54 | 3 | 3.0% |
| 2.06 | 3 | 3.0% |
| 1.81 | 3 | 3.0% |
| 2.09 | 2 | 2.0% |
| 3.87 | 2 | 2.0% |
| 2.33 | 2 | 2.0% |
| 3.22 | 2 | 2.0% |
| 3.63 | 2 | 2.0% |
| 3.51 | 2 | 2.0% |
| Other values (70) | 75 |
| Value | Count | Frequency (%) |
| 1.14 | 1 | 1.0% |
| 1.31 | 1 | 1.0% |
| 1.47 | 2 | |
| 1.52 | 1 | 1.0% |
| 1.56 | 1 | 1.0% |
| 1.64 | 1 | 1.0% |
| 1.81 | 3 | |
| 1.89 | 1 | 1.0% |
| 1.99 | 1 | 1.0% |
| 2 | 1 | 1.0% |
| Value | Count | Frequency (%) |
| 5.37 | 1 | 1.0% |
| 5.23 | 1 | 1.0% |
| 5.15 | 1 | 1.0% |
| 4.9 | 1 | 1.0% |
| 4.72 | 1 | 1.0% |
| 4.7 | 1 | 1.0% |
| 4.54 | 3 | |
| 4.46 | 1 | 1.0% |
| 4.39 | 1 | 1.0% |
| 4.38 | 1 | 1.0% |
| Distinct | 57 |
|---|---|
| Distinct (%) | 56.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 86.43564356 |
| Minimum | 27 |
|---|---|
| Maximum | 132 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 936.0 B |
Quantile statistics
| Minimum | 27 |
|---|---|
| 5-th percentile | 53 |
| Q1 | 71 |
| median | 84 |
| Q3 | 103 |
| 95-th percentile | 122 |
| Maximum | 132 |
| Range | 105 |
| Interquartile range (IQR) | 32 |
Descriptive statistics
| Standard deviation | 21.74001649 |
|---|---|
| Coefficient of variation (CV) | 0.2515168001 |
| Kurtosis | -0.546740626 |
| Mean | 86.43564356 |
| Median Absolute Deviation (MAD) | 15 |
| Skewness | -0.0005357661001 |
| Sum | 8730 |
| Variance | 472.6283168 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 84 | 5 | 5.0% |
| 60 | 4 | 4.0% |
| 72 | 4 | 4.0% |
| 81 | 4 | 4.0% |
| 70 | 4 | 4.0% |
| 98 | 3 | 3.0% |
| 75 | 3 | 3.0% |
| 125 | 3 | 3.0% |
| 73 | 3 | 3.0% |
| 79 | 3 | 3.0% |
| Other values (47) | 65 |
| Value | Count | Frequency (%) |
| 27 | 1 | 1.0% |
| 45 | 1 | 1.0% |
| 48 | 1 | 1.0% |
| 51 | 1 | 1.0% |
| 53 | 2 | |
| 55 | 2 | |
| 58 | 1 | 1.0% |
| 60 | 4 | |
| 62 | 2 | |
| 63 | 1 | 1.0% |
| Value | Count | Frequency (%) |
| 132 | 1 | 1.0% |
| 125 | 3 | |
| 123 | 1 | 1.0% |
| 122 | 1 | 1.0% |
| 121 | 2 | |
| 119 | 1 | 1.0% |
| 118 | 2 | |
| 116 | 1 | 1.0% |
| 114 | 1 | 1.0% |
| 112 | 1 | 1.0% |
| Distinct | 30 |
|---|---|
| Distinct (%) | 29.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 19.33663366 |
| Minimum | 3 |
|---|---|
| Maximum | 188 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 936.0 B |
Quantile statistics
| Minimum | 3 |
|---|---|
| 5-th percentile | 5 |
| Q1 | 12 |
| median | 18 |
| Q3 | 24 |
| 95-th percentile | 30 |
| Maximum | 188 |
| Range | 185 |
| Interquartile range (IQR) | 12 |
Descriptive statistics
| Standard deviation | 18.67473011 |
|---|---|
| Coefficient of variation (CV) | 0.9657694525 |
| Kurtosis | 67.63924964 |
| Mean | 19.33663366 |
| Median Absolute Deviation (MAD) | 6 |
| Skewness | 7.458913435 |
| Sum | 1953 |
| Variance | 348.7455446 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=30)
| Value | Count | Frequency (%) |
| 5 | 8 | 7.9% |
| 23 | 8 | 7.9% |
| 12 | 7 | 6.9% |
| 25 | 6 | 5.9% |
| 18 | 6 | 5.9% |
| 22 | 6 | 5.9% |
| 16 | 6 | 5.9% |
| 14 | 5 | 5.0% |
| 20 | 4 | 4.0% |
| 9 | 3 | 3.0% |
| Other values (20) | 42 |
| Value | Count | Frequency (%) |
| 3 | 2 | 2.0% |
| 4 | 1 | 1.0% |
| 5 | 8 | |
| 6 | 2 | 2.0% |
| 7 | 1 | 1.0% |
| 9 | 3 | 3.0% |
| 10 | 3 | 3.0% |
| 11 | 3 | 3.0% |
| 12 | 7 | |
| 13 | 2 | 2.0% |
| Value | Count | Frequency (%) |
| 188 | 1 | 1.0% |
| 32 | 2 | 2.0% |
| 31 | 2 | 2.0% |
| 30 | 3 | |
| 29 | 3 | |
| 28 | 2 | 2.0% |
| 27 | 1 | 1.0% |
| 26 | 3 | |
| 25 | 6 | |
| 24 | 3 |
| Distinct | 28 |
|---|---|
| Distinct (%) | 27.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 11.18019802 |
| Minimum | 0 |
|---|---|
| Maximum | 56.2 |
| Zeros | 4 |
| Zeros (%) | 4.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 936.0 B |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 6 |
| median | 10 |
| Q3 | 15 |
| 95-th percentile | 26 |
| Maximum | 56.2 |
| Range | 56.2 |
| Interquartile range (IQR) | 9 |
Descriptive statistics
| Standard deviation | 8.5888069 |
|---|---|
| Coefficient of variation (CV) | 0.7682159909 |
| Kurtosis | 6.423029607 |
| Mean | 11.18019802 |
| Median Absolute Deviation (MAD) | 5 |
| Skewness | 1.771283928 |
| Sum | 1129.2 |
| Variance | 73.76760396 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=28)
| Value | Count | Frequency (%) |
| 6 | 10 | 9.9% |
| 7 | 7 | 6.9% |
| 2 | 6 | 5.9% |
| 12 | 6 | 5.9% |
| 10 | 6 | 5.9% |
| 9 | 6 | 5.9% |
| 11 | 5 | 5.0% |
| 1 | 5 | 5.0% |
| 8 | 4 | 4.0% |
| 18 | 4 | 4.0% |
| Other values (18) | 42 |
| Value | Count | Frequency (%) |
| 0 | 4 | 4.0% |
| 1 | 5 | |
| 2 | 6 | |
| 3 | 1 | 1.0% |
| 4 | 4 | 4.0% |
| 5 | 3 | 3.0% |
| 6 | 10 | |
| 7 | 7 | |
| 8 | 4 | 4.0% |
| 9 | 6 |
| Value | Count | Frequency (%) |
| 56.2 | 1 | 1.0% |
| 30 | 2 | |
| 29 | 1 | 1.0% |
| 26 | 2 | |
| 23 | 2 | |
| 22 | 3 | |
| 21 | 2 | |
| 20 | 2 | |
| 19 | 2 | |
| 18 | 4 |
| Distinct | 89 |
|---|---|
| Distinct (%) | 88.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 40.18584158 |
| Minimum | 2 |
|---|---|
| Maximum | 77.44 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 936.0 B |
Quantile statistics
| Minimum | 2 |
|---|---|
| 5-th percentile | 10.92 |
| Q1 | 28.41 |
| median | 38.21 |
| Q3 | 55.23 |
| 95-th percentile | 72.24 |
| Maximum | 77.44 |
| Range | 75.44 |
| Interquartile range (IQR) | 26.82 |
Descriptive statistics
| Standard deviation | 18.23926771 |
|---|---|
| Coefficient of variation (CV) | 0.4538729809 |
| Kurtosis | -0.6494983617 |
| Mean | 40.18584158 |
| Median Absolute Deviation (MAD) | 12.32 |
| Skewness | 0.1892122922 |
| Sum | 4058.77 |
| Variance | 332.6708865 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 16.29 | 2 | 2.0% |
| 55.56 | 2 | 2.0% |
| 10.92 | 2 | 2.0% |
| 61.97 | 2 | 2.0% |
| 38.74 | 2 | 2.0% |
| 28.41 | 2 | 2.0% |
| 39.66 | 2 | 2.0% |
| 32.38 | 2 | 2.0% |
| 36.74 | 2 | 2.0% |
| 15.05 | 2 | 2.0% |
| Other values (79) | 81 |
| Value | Count | Frequency (%) |
| 2 | 1 | |
| 8.12 | 1 | |
| 8.25 | 2 | |
| 10.01 | 1 | |
| 10.92 | 2 | |
| 15.05 | 2 | |
| 16.29 | 2 | |
| 17.95 | 1 | |
| 17.97 | 1 | |
| 18.72 | 1 |
| Value | Count | Frequency (%) |
| 77.44 | 1 | |
| 76.5 | 1 | |
| 75.56 | 1 | |
| 73.82 | 1 | |
| 72.56 | 1 | |
| 72.24 | 1 | |
| 71.21 | 1 | |
| 69.61 | 1 | |
| 69.55 | 1 | |
| 67.66 | 1 |
| Distinct | 4 |
|---|---|
| Distinct (%) | 4.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 936.0 B |
| 3 | |
|---|---|
| 1 | |
| 2 | |
| 4 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 101 |
|---|---|
| Distinct characters | 4 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 4 |
|---|---|
| 2nd row | 4 |
| 3rd row | 4 |
| 4th row | 1 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 3 | 28 | |
| 1 | 26 | |
| 2 | 24 | |
| 4 | 23 |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 3 | 28 | |
| 1 | 26 | |
| 2 | 24 | |
| 4 | 23 |
Most occurring characters
| Value | Count | Frequency (%) |
| 3 | 28 | |
| 1 | 26 | |
| 2 | 24 | |
| 4 | 23 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 101 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 3 | 28 | |
| 1 | 26 | |
| 2 | 24 | |
| 4 | 23 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 101 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 3 | 28 | |
| 1 | 26 | |
| 2 | 24 | |
| 4 | 23 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 101 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 3 | 28 | |
| 1 | 26 | |
| 2 | 24 | |
| 4 | 23 |
| Distinct | 4 |
|---|---|
| Distinct (%) | 4.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 936.0 B |
| 2 | |
|---|---|
| 3 | |
| 1 | |
| 4 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 101 |
|---|---|
| Distinct characters | 4 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 3 |
|---|---|
| 2nd row | 2 |
| 3rd row | 2 |
| 4th row | 4 |
| 5th row | 3 |
Common Values
| Value | Count | Frequency (%) |
| 2 | 43 | |
| 3 | 27 | |
| 1 | 23 | |
| 4 | 8 | 7.9% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 2 | 43 | |
| 3 | 27 | |
| 1 | 23 | |
| 4 | 8 | 7.9% |
Most occurring characters
| Value | Count | Frequency (%) |
| 2 | 43 | |
| 3 | 27 | |
| 1 | 23 | |
| 4 | 8 | 7.9% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 101 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 2 | 43 | |
| 3 | 27 | |
| 1 | 23 | |
| 4 | 8 | 7.9% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 101 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 2 | 43 | |
| 3 | 27 | |
| 1 | 23 | |
| 4 | 8 | 7.9% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 101 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 2 | 43 | |
| 3 | 27 | |
| 1 | 23 | |
| 4 | 8 | 7.9% |
gender
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 2.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 936.0 B |
| 1 | |
|---|---|
| 0 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 101 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 1 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 1 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 1 | 65 | |
| 0 | 36 |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 1 | 65 | |
| 0 | 36 |
Most occurring characters
| Value | Count | Frequency (%) |
| 1 | 65 | |
| 0 | 36 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 101 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 1 | 65 | |
| 0 | 36 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 101 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 1 | 65 | |
| 0 | 36 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 101 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 1 | 65 | |
| 0 | 36 |
smoking
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 2.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 936.0 B |
| 2 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 101 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 2 |
|---|---|
| 2nd row | 2 |
| 3rd row | 2 |
| 4th row | 2 |
| 5th row | 2 |
Common Values
| Value | Count | Frequency (%) |
| 2 | 85 | |
| 1 | 16 | 15.8% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 2 | 85 | |
| 1 | 16 | 15.8% |
Most occurring characters
| Value | Count | Frequency (%) |
| 2 | 85 | |
| 1 | 16 | 15.8% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 101 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 2 | 85 | |
| 1 | 16 | 15.8% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 101 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 2 | 85 | |
| 1 | 16 | 15.8% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 101 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 2 | 85 | |
| 1 | 16 | 15.8% |
Diabetes
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 2.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 936.0 B |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 101 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 1 |
|---|---|
| 2nd row | 1 |
| 3rd row | 1 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 80 | |
| 1 | 21 | 20.8% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 80 | |
| 1 | 21 | 20.8% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 80 | |
| 1 | 21 | 20.8% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 101 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 80 | |
| 1 | 21 | 20.8% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 101 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 80 | |
| 1 | 21 | 20.8% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 101 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 80 | |
| 1 | 21 | 20.8% |
muscular
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 2.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 936.0 B |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 101 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 82 | |
| 1 | 19 | 18.8% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 82 | |
| 1 | 19 | 18.8% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 82 | |
| 1 | 19 | 18.8% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 101 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 82 | |
| 1 | 19 | 18.8% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 101 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 82 | |
| 1 | 19 | 18.8% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 101 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 82 | |
| 1 | 19 | 18.8% |
hypertension
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | 2.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 936.0 B |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 101 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 1 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 89 | |
| 1 | 12 | 11.9% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 89 | |
| 1 | 12 | 11.9% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 89 | |
| 1 | 12 | 11.9% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 101 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 89 | |
| 1 | 12 | 11.9% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 101 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 89 | |
| 1 | 12 | 11.9% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 101 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 89 | |
| 1 | 12 | 11.9% |
| Distinct | 2 |
|---|---|
| Distinct (%) | 2.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 936.0 B |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 101 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 1 |
|---|---|
| 2nd row | 1 |
| 3rd row | 1 |
| 4th row | 1 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 81 | |
| 1 | 20 | 19.8% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 81 | |
| 1 | 20 | 19.8% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 81 | |
| 1 | 20 | 19.8% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 101 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 81 | |
| 1 | 20 | 19.8% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 101 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 81 | |
| 1 | 20 | 19.8% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 101 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 81 | |
| 1 | 20 | 19.8% |
| Distinct | 2 |
|---|---|
| Distinct (%) | 2.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 936.0 B |
| 0 | |
|---|---|
| 1 | 9 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 101 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 1 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 92 | |
| 1 | 9 | 8.9% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| 0 | 92 | |
| 1 | 9 | 8.9% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 92 | |
| 1 | 9 | 8.9% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 101 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 92 | |
| 1 | 9 | 8.9% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 101 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 92 | |
| 1 | 9 | 8.9% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 101 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 92 | |
| 1 | 9 | 8.9% |
Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
Cramér's V (φc)
Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here. A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.
First rows
| df_index | ID | AGE | PackHistory | COPDSEVERITY | MWT1 | MWT2 | MWT1Best | FEV1 | FEV1PRED | FVC | FVCPRED | CAT | HAD | SGRQ | AGEquartiles | copd | gender | smoking | Diabetes | muscular | hypertension | AtrialFib | IHD | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 1 | 58 | 77 | 60.0 | SEVERE | 120.0 | 120.0 | 120.0 | 1.21 | 36.0 | 2.40 | 98 | 25 | 8.0 | 69.55 | 4 | 3 | 1 | 2 | 1 | 0 | 0 | 1 | 0 |
| 1 | 2 | 57 | 79 | 50.0 | MODERATE | 165.0 | 176.0 | 176.0 | 1.09 | 56.0 | 1.64 | 65 | 12 | 21.0 | 44.24 | 4 | 2 | 0 | 2 | 1 | 0 | 0 | 1 | 1 |
| 2 | 3 | 62 | 80 | 11.0 | MODERATE | 201.0 | 180.0 | 201.0 | 1.52 | 68.0 | 2.30 | 86 | 22 | 18.0 | 44.09 | 4 | 2 | 0 | 2 | 1 | 0 | 0 | 1 | 0 |
| 3 | 4 | 145 | 56 | 60.0 | VERY SEVERE | 210.0 | 210.0 | 210.0 | 0.47 | 14.0 | 1.14 | 27 | 28 | 26.0 | 62.04 | 1 | 4 | 1 | 2 | 0 | 0 | 1 | 1 | 0 |
| 4 | 5 | 136 | 65 | 68.0 | SEVERE | 204.0 | 210.0 | 210.0 | 1.07 | 42.0 | 2.91 | 98 | 32 | 18.0 | 75.56 | 1 | 3 | 1 | 2 | 0 | 1 | 1 | 0 | 0 |
| 5 | 6 | 84 | 67 | 26.0 | MODERATE | 216.0 | 180.0 | 216.0 | 1.09 | 50.0 | 1.99 | 60 | 29 | 21.0 | 73.82 | 2 | 2 | 0 | 1 | 1 | 0 | 0 | 1 | 0 |
| 6 | 7 | 93 | 67 | 50.0 | SEVERE | 214.0 | 237.0 | 237.0 | 0.69 | 35.0 | 1.31 | 48 | 29 | 30.0 | 77.44 | 2 | 3 | 0 | 1 | 1 | 0 | 0 | 1 | 0 |
| 7 | 8 | 27 | 83 | 90.0 | SEVERE | 214.0 | 237.0 | 237.0 | 0.68 | 32.0 | 2.23 | 77 | 22 | 2.0 | 45.41 | 4 | 3 | 1 | 2 | 1 | 0 | 0 | 1 | 0 |
| 8 | 9 | 114 | 72 | 50.0 | MODERATE | 231.0 | 237.0 | 237.0 | 2.13 | 63.0 | 4.38 | 80 | 25 | 6.0 | 69.61 | 3 | 2 | 1 | 1 | 1 | 0 | 0 | 1 | 0 |
| 9 | 10 | 152 | 75 | 6.0 | SEVERE | 226.0 | 240.0 | 240.0 | 1.06 | 46.0 | 2.06 | 75 | 31 | 20.0 | 55.56 | 3 | 3 | 0 | 2 | 0 | 1 | 0 | 0 | 0 |
Last rows
| df_index | ID | AGE | PackHistory | COPDSEVERITY | MWT1 | MWT2 | MWT1Best | FEV1 | FEV1PRED | FVC | FVCPRED | CAT | HAD | SGRQ | AGEquartiles | copd | gender | smoking | Diabetes | muscular | hypertension | AtrialFib | IHD | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 91 | 92 | 149 | 69 | 27.0 | MODERATE | 495.0 | 531.0 | 531.0 | 1.89 | 69.0 | 2.61 | 72 | 3 | 0.0 | 8.25 | 2 | 2 | 1 | 2 | 0 | 0 | 0 | 0 | 0 |
| 92 | 93 | 163 | 68 | 27.0 | MODERATE | 495.0 | 531.0 | 531.0 | 1.89 | 69.0 | 2.61 | 72 | 3 | 0.0 | 8.25 | 2 | 2 | 1 | 2 | 0 | 0 | 0 | 0 | 0 |
| 93 | 94 | 112 | 52 | 40.0 | MILD | 483.0 | 540.0 | 540.0 | 2.93 | 75.0 | 3.63 | 75 | 12 | 2.0 | 25.62 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
| 94 | 95 | 135 | 55 | 40.0 | MILD | 522.0 | 540.0 | 540.0 | 2.75 | 85.0 | 4.54 | 96 | 22 | 10.0 | 58.41 | 1 | 1 | 1 | 2 | 1 | 0 | 0 | 0 | 1 |
| 95 | 96 | 12 | 72 | 30.0 | MODERATE | 558.0 | 563.0 | 558.0 | 1.61 | 61.0 | 3.14 | 91 | 18 | 12.0 | 34.64 | 3 | 2 | 1 | 2 | 0 | 0 | 0 | 0 | 1 |
| 96 | 97 | 10 | 68 | 25.0 | MILD | 511.0 | 575.0 | 575.0 | 2.70 | 98.0 | 3.87 | 108 | 20 | 7.0 | 35.84 | 2 | 1 | 1 | 2 | 0 | 1 | 0 | 0 | 0 |
| 97 | 98 | 43 | 75 | 40.0 | MILD | 576.0 | 577.0 | 577.0 | 2.90 | 93.0 | 4.72 | 114 | 9 | 22.0 | 15.05 | 3 | 1 | 1 | 2 | 0 | 1 | 0 | 0 | 1 |
| 98 | 99 | 74 | 68 | 30.0 | MODERATE | 468.0 | 582.0 | 582.0 | 1.65 | 67.0 | 2.80 | 88 | 4 | 1.0 | 19.70 | 2 | 2 | 0 | 2 | 0 | 0 | 1 | 0 | 0 |
| 99 | 100 | 108 | 54 | 30.0 | SEVERE | 688.0 | 699.0 | 699.0 | 1.72 | 44.0 | 4.07 | 82 | 10 | 10.0 | 20.55 | 1 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 |
| 100 | 101 | 85 | 78 | 55.0 | MODERATE | NaN | NaN | NaN | 1.15 | 54.0 | 2.01 | 85 | 18 | 7.0 | 30.21 | 4 | 2 | 1 | 2 | 0 | 0 | 0 | 0 | 0 |